Shoppers were asked about their regular grocery shopping locations. The table below shows the responses of the sampled shoppers. We are interested in determining if the proportions of females in the...


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Shoppers were asked about their regular grocery shopping locations. The table below shows the responses of the<br>sampled shoppers. We are interested in determining if the proportions of females in the three categories are different<br>from each other.<br>Grocery<br>Discount<br>Membership<br>Gender<br>chain<br>store<br>warehouse<br>Total<br>Female<br>220<br>80<br>90<br>390<br>Male<br>80<br>70<br>60<br>210<br>Total<br>300<br>150<br>150<br>600<br>HINT: You are NOT to be using a chi-square test here!! You do not need any test, you are using comparisons!<br>a. Provide the null and alternative hypotheses.<br>b. Determine the expected frequencies.<br>c. Compute the sample proportions.<br>d. Compute the critical values (CV) at the .10 level.<br>Using pairwise comparisons, provide evidence showing which (if any) proportions are indeed<br>е.<br>different.<br>

Extracted text: Shoppers were asked about their regular grocery shopping locations. The table below shows the responses of the sampled shoppers. We are interested in determining if the proportions of females in the three categories are different from each other. Grocery Discount Membership Gender chain store warehouse Total Female 220 80 90 390 Male 80 70 60 210 Total 300 150 150 600 HINT: You are NOT to be using a chi-square test here!! You do not need any test, you are using comparisons! a. Provide the null and alternative hypotheses. b. Determine the expected frequencies. c. Compute the sample proportions. d. Compute the critical values (CV) at the .10 level. Using pairwise comparisons, provide evidence showing which (if any) proportions are indeed е. different.

Jun 04, 2022
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